English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 114 Lessons (10h 59m) | 1.78 GB
The Complete AI Fast Track Bootcamp – 2024 is an intensive online course designed to quickly master key skills in artificial intelligence. It covers state-of-the-art technologies including large language models (LLMs), generative AI, vector databases, LangChain, Hugging Face, Gemini Pro, and more.
Get ready to dive into the cutting-edge world of Generative AI! This module will unlock the secrets of these groundbreaking language models, giving you a front-row seat to the future of AI technology.
This module empowers you to become a Prompt Engineering master, equipping you with the skills to craft irresistible prompts that unlock the full potential of AI models like GPT-4 and Claude.
This module embarks on a transformative journey through the realm of open-source large language models with Ollama, unlocking unprecedented flexibility, control, and customization for your AI-driven endeavors.
Hugging Face is a leading platform for hosting and interacting with state-of-the-art natural language processing models like LLMs.
Embeddings represent text as numerical vectors to allow easier search and analysis. Vector databases optimize storing and querying embeddings to understand relationships in data.
Gemini is a groundbreaking AI technology that will revolutionize the way you approach tasks and projects. In this module, you’ll gain a deep understanding of Gemini’s capabilities and learn how to harness its full potential.
LangChain is a framework for augmenting LLMs like ChatGPT with external data sources and APIs to improve capabilities.
This module unveils the groundbreaking CrewAI framework, empowering you to orchestrate AI agents in perfect synchronicity, unlocking new frontiers of productivity and accomplishment.
Several impressive custom GPT models have been created by developers and researchers. This module will showcase some of the most interesting ones that you may want to experiment with or use as a starting point.
This module delves into the fundamentals of OpenAI’s Function Calling and Assistants API, offering insights and hands-on exercises to help developers integrate these features into their projects effectively.
This module delves into harnessing AI for speech and vision tasks, guiding you through creating applications and virtual assistants that can understand and interact with human language and visual data.
Table of Contents
M01. LLM
1 Intro
2 LLMs
3 Hallucination
4 Token
5 Context window
6 What is open-source LLMs
7 Best Open Source LLMs (2024)
8 Training
9 Applications
10 Challenges and Limitations
11 What is fine-tune？
12 How to fine-tune？
M02. Prompt Engineering
13 What is prompt？
14 What is prompt engineering？
15 Why is prompt engineering important？
16 Tokenizer
17 Intro
18 Objective
19 Background
20 Examples
21 Persona
22 Format
23 Tone
24 Jailbreaking
25 Direct prompt injection
26 Indirect prompt injection
27 Stored prompt injection
28 Prompt leaking
29 Trick #1 – Asking indirectly
30 Trick #2 – Roleplay
31 Trick #3 – Payload splitting
32 Trick #4 – DAN (Do Anything Now)
33 Trick #5 – AbuseGPT
M03. Ollama
34 Quick-intro
35 About-local-LLM
36 Installation
37 Run-Llava
38 APIs-with-Postman
39 With-OpenAI
40 With-Ollama
41 With-Langchain
42 Run-Ollama-with-Chat-UI
43 Ollama-with-custom-models
M04. Hugging Face
44 What-is-Hugging-Face.
45 Hugging-Face-ecosystem
46 Working-with-Transformers-libirary
47 Generate-text
48 Transcribing-audio
49 Objects-detection
50 What-is-Spaces.
51 Creating-Gradio-app
52 Creating-Spaces
M05. Gemini Pro
53 What-is-Gemini.
54 Getting-API-Key
55 Initialize-Python-project
56 Generate-text
57 Interact-with-image
58 Chatbot
59 Text-chatbot
60 Photo-chatbot
61 Audio-chatbot
M06. Embedding & Vector Database
62 Embeddings
63 Vector-database
64 Token-limit-problem
65 What-is-RAG.
66 Chroma
67 Chroma-embeddings
68 OpenAI-embeddings
69 Hugging-Face-embeddings
70 Updating-data
71 Removing-data
72 Collection-management
73 Prepare-resumes
74 Code
M07. Langchain
75 Agents
76 Chains
77 Chat-with-RAG
78 Generation
79 Go-with-Hugging-Face-and-Groq
80 Go-with-OpenAI
81 Intro
82 Memory
83 RAG-with-PDF
84 Retrieval-Augmented
85 Simple-ChatUI-with-Ollama
86 Upload-PDF
M08. CrewAI
87 Intro
88 Workflow
89 Agents
90 Tasks
91 Tools
92 Processes
93 Installation
94 Run-Agents
95 Run-Tasks
96 Run-Crew
97 Installation-libraries
98 Set-up-components
99 Crew
M09. GPTs
100 Intro
101 Create-GPT
102 Add-knowledge-base
103 Nutrition-API
104 Create-your-actions
105 Hacking-instruction-prompt
106 Hacking-uploaded-files
107 Advanced-hacking-prompt
108 Layer-of-protection
HTML
M10. Function Calling & Assistant
109 Problem-_1
110 Problem-_2
111 Solution
112 Multiple-custom-functions
113 Applications-of-function-calling
114 Back-to-the-problem
115 Function-calling-use-cases
116 Overview
117 Create-assistant-in-playground
118 Add-knowledge-base
119 Code-intergreter
120 Knowledge-base
121 Function-calling
122 Basic-Streamlit
123 Send-email-with-Resend
124 Update-utils-create-assistant
125 Update-utils-functions-for-assistant
126 Add-logic
M11. Speech & Vision
127 Speech-reg-vs-Voice-reg
128 OpenAI-Whisper
129 Local-Whisper
130 Transcribe-Youtube
131 Deepgram-STT
132 SpeechRecognition-Google
133 SpeechRecognition-Whisper
134 OpenAI-TTS
135 Deepgram-TTS
136 Structure
137 Add-Speech-to-Text
138 Add-Text-to-Speech
139 Add-Groq
140 Working-together
141 Work-with-remote-image
142 Work-with-local-image
143 Step-1-Camera-input
144 Step-2-Input-form
145 Step-3-AI-image-function
146 Step-4-Test-on-monile
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